Pith Number
pith:PRKZJIDX
pith:2016:PRKZJIDXOB7CISUB5YQGNEZOMW
not attested
not anchored
not stored
refs pending
A systematic optimization approach for a class of statistical inference problems utilizing data augmentation
arxiv:1601.05074 v4 · 2016-01-19 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PRKZJIDXOB7CISUB5YQGNEZOMW}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:15:38.219303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c5594a077707e244a81ee2066932e658f2ca592809092fac0588d0bb1e407b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PRKZJIDXOB7CISUB5YQGNEZOMW \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7c5594a077707e244a81ee2066932e658f2ca592809092fac0588d0bb1e407b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e58e4bee0e58b738ba4497a9c216b36fe5c753dc3541ceb3aaae44af1fec5091",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2016-01-19T20:42:03Z",
"title_canon_sha256": "37e0d08bcadfc64deeb6db47c88f0178b42bc1e6a5a01d2697721c20ed29e258"
},
"schema_version": "1.0",
"source": {
"id": "1601.05074",
"kind": "arxiv",
"version": 4
}
}